Theory of matrix variate distributions extends classical univariate and multivariate approaches to random matrices, accommodating dependence structures across both rows and columns. Fundamental ...
Matrix inequalities form a cornerstone of modern linear algebra, providing a versatile framework for comparing matrices through the lens of positivity, spectral bounds and norm estimates. Central to ...
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